Om Bhisra

Developed a Loan Risk Prediction System using Machine Learning to evaluate loan approval based on applicant data.Built an end-to-end pipeline including data preprocessing, handling missing values, encoding, and feature selection.Implemented a Support Vector Machine (SVM) model and improved performance through hyperparameter tuning.Optimized model parameters using techniques like Grid Search to achieve better accuracy and generalization.Evaluated performance using metrics such as accuracy, precision, recall, and confusion matrix.Enabled data-driven decision making to help reduce financial risk for lending institutions.

Developed HridyaCare, a smartphone-based low-cost health screening platform for basic vital and wellness assessment.Designed to estimate heart rate, stress levels, and overall wellness using mobile sensors and intelligent processing.Implemented data processing and machine learning techniques to analyze health signals and generate insights.Focused on creating an accessible and user-friendly solution for early health monitoring without expensive equipment.Integrated features like real-time feedback, health tracking, and personalized recommendations.Aimed to make preventive healthcare more affordable, scalable, and accessible to a wider population.

Developed Renew AI, an intelligent system focused on optimizing and promoting sustainable energy usage.Built machine learning models to analyze energy consumption patterns and provide efficient usage recommendations.Performed data preprocessing, feature engineering, and model training to generate accurate predictions.Designed the system to support smarter decision-making for energy conservation and cost reduction.Integrated insights and visualizations to help users understand and optimize their energy consumption.Aimed to contribute towards sustainability by leveraging AI for smarter and greener energy solutions.